Lin Wang

4.8k citations
280 papers · 3.7k · h-index 32

Impact in

Papers in

Lin Wang

257 papers receiving 3.6k citations

Peers

Lin Wang
Comparison fields: 5 of 121
  • Statistical and Nonlinear Physics 860
  • Computer Networks and Communications 1.3k
  • Computer Vision and Pattern Recognition 819
  • Electrical and Electronic Engineering 2.2k
  • Computational Theory and Mathematics 479
Replace Н. В. Кузнецов with:
Н. В. Кузнецов Russia
R. Unbehauen Germany
Ming Xin United States
Jonathan H. Manton Australia
A.G. Constantinides United Kingdom
Stephan Weiss United Kingdom
Xiao Fu United States
Arian Maleki United States
Yuantao Gu China
Lin Wang relative to Н. В. Кузнецов Russia Н. В. Кузнецов's profile →
Citations per field
00.5×1.5×2.5×
Н. В. Кузнецов · 1×
Citations per year

Countries citing papers authored by Lin Wang

Since Specialization
Citations

This map shows the geographic impact of Lin Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Wang more than expected).

Fields of papers citing papers by Lin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lin Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lin Wang. The network helps show where Lin Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Lin Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lin Wang Line = papers co-authored together Lin Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 280 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014168
2 2005151
3 2016130
4 2015130
5 201699
6 201082
7 201377
8 201470
9 202064
10 201764
11 201659
12 201649
13 200848
14 200547
15 201747
16 201846
17 201846
18 201146
19 202245
20 202343

About Lin Wang

Lin Wang is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 280 papers that have together received 3.7k indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (100 papers), Error Correcting Code Techniques (90 papers), Cooperative Communication and Network Coding (56 papers), Chaos control and synchronization (42 papers), Chaos-based Image/Signal Encryption (40 papers), Advanced Wireless Communication Technologies (29 papers), Cellular Automata and Applications (28 papers) and Wireless Communication Security Techniques (28 papers). The work is most often cited by research in Statistical and Nonlinear Physics (860 citations), Computer Networks and Communications (1.3k citations), Computer Vision and Pattern Recognition (819 citations), Electrical and Electronic Engineering (2.2k citations) and Computational Theory and Mathematics (479 citations). Lin Wang has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Weikai Xu, Guanrong Chen, Francis C. M. Lau, Pingping Chen, Xiangming Cai, Shaohua Hong, Guofa Cai, Yi Fang, Tingting Huang and Guojun Han. Their work appears in journals such as IEEE Communications Letters, IEEE Transactions on Communications, IEEE Transactions on Circuits & Systems II Express Briefs, IEEE Access and IEEE Transactions on Vehicular Technology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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